38Enterprise customers want to choose the model behind our AI features, including their own. Do we offer model choice?▼mediumNewMicrosoftCursor◆ premiumChoice wins deals and moves quality and data terms onto the customer's chosen provider. Offer a curated set per feature with one tested default, allow your customers' own models only where your evaluation gate passes, and show each provider's terms.Practise this question →Read answer →
19Our assistant forgets instructions and contradicts itself in long conversations. Why, and what do you change?▼hardNewOpenAIAnthropicNotion◆ premiumA quality problem with a technical cause and a product solution. The strong answer explains why long contexts degrade and designs conversation management rather than hoping a bigger window fixes it.Practise this question →Read answer →
14Most users never complain when the AI is wrong. What metrics would tell you it is failing anyway?▼mediumNewKlarnaRevolutStripe◆ premiumThe most expensive AI failures are the confident wrong answers that users accept. This question tests whether you can find their footprints in behaviour data.Practise this question →Read answer →
17Before releasing a new model, how would you make sure it is good enough across the dozens of languages your customers use?▼hardNewGoogleMetaSarvam AI◆ premiumEnglish-only evaluation hides regressions that land on most of the world's users. The interviewer wants a plan that covers languages by importance, uses native evaluation, and gates release on per-language results.Practise this question →Read answer →
25You need preference labels for a model update. How would you design the work, pay annotators and control quality?▼hardNewGoogle DeepMindAnthropicOpenAI◆ premiumBudget for the whole labeling job, distinguish disagreement from poor work and test whether the resulting data improves the model.Practise this question →Read answer →
36Should our API offer an 'auto' model that picks a model for each request? How would you price it, and what could go wrong?▼hardNewMicrosoftAmazon◆ premiumRouting as a platform feature saves customers money and moves quality decisions onto you. Make it opt-in, show which model answered, bound the quality loss and never change the model set under production traffic.Practise this question →Read answer →
27A coding agent opened a 40-file pull request for your feature. As the PM, how do you review it before it ships?▼mediumNewCursorAtlassianStripe◆ premiumA PM does not review code line by line. The scored answer shows what a PM checks in an agent's pull request, what engineering checks, and when a 40-file change should be sent back.Practise this question →Read answer →